Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications
Christoph Müller
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, 14473
Potsdam, Germany
Joshua Elliott
University of Chicago and ANL Computation Institute,
Chicago, IL 60637, USA
Columbia University Center for Climate Systems Research,
New York, NY 10025, USA
James Chryssanthacopoulos
University of Chicago and ANL Computation Institute,
Chicago, IL 60637, USA
Columbia University Center for Climate Systems Research,
New York, NY 10025, USA
Almut Arneth
Karlsruhe Institute of Technology, IMK-IFU, 82467
Garmisch-Partenkirchen, Germany
Juraj Balkovic
International Institute for Applied Systems Analysis,
Ecosystem Services and Management Program, 2361 Laxenburg, Austria
Department of Soil
Science, Comenius University in Bratislava, 842 15 Bratislava, Slovak Republic
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement.
CEA CNRS UVSQ Orme des Merisiers, 91191 Gif-sur-Yvette, France
Delphine Deryng
University of Chicago and ANL Computation Institute,
Chicago, IL 60637, USA
Columbia University Center for Climate Systems Research,
New York, NY 10025, USA
Christian Folberth
International Institute for Applied Systems Analysis,
Ecosystem Services and Management Program, 2361 Laxenburg, Austria
Department of Geography, Ludwig Maximilian University, 80333
Munich, Germany
Michael Glotter
Department of the Geophysical
Sciences, University of Chicago, Chicago, IL 60637, USA
Steven Hoek
Earth
Observation and Environmental Informatics, Alterra Wageningen University and Research Centre, 6708PB Wageningen, the Netherlands
Toshichika Iizumi
Institute for Agro-Environmental Sciences, National Agriculture and Food Research
Organization,
Tsukuba, 305-8604, Japan
Roberto C. Izaurralde
Department of Geographical
Sciences, University of Maryland, College Park, MD 20742, USA
Texas AgriLife Research and
Extension, Texas A&M University, Temple, TX 76502, USA
Curtis Jones
Department of Geographical
Sciences, University of Maryland, College Park, MD 20742, USA
Nikolay Khabarov
International Institute for Applied Systems Analysis,
Ecosystem Services and Management Program, 2361 Laxenburg, Austria
Peter Lawrence
Earth System
Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, USA
Wenfeng Liu
Eawag, Swiss Federal Institute of Aquatic Science and
Technology, 8600 Duebendorf, Switzerland
Stefan Olin
Department of Physical Geography and Ecosystem Science,
Lund University, 223 62 Lund, Sweden
Thomas A. M. Pugh
Karlsruhe Institute of Technology, IMK-IFU, 82467
Garmisch-Partenkirchen, Germany
School of Geography, Earth & Environmental Sciences and
Birmingham Institute of Forest Research, University of Birmingham,
Edgbaston, Birmingham, B15 2TT, UK
Deepak K. Ray
Institute on the Environment, University of Minnesota,
Saint Paul, MN, USA
Ashwan Reddy
Department of Geographical
Sciences, University of Maryland, College Park, MD 20742, USA
Cynthia Rosenzweig
National Aeronautics and Space Administration Goddard
Institute for Space Studies, New York, NY 10025, USA
Columbia University Center for Climate Systems Research,
New York, NY 10025, USA
Alex C. Ruane
National Aeronautics and Space Administration Goddard
Institute for Space Studies, New York, NY 10025, USA
Columbia University Center for Climate Systems Research,
New York, NY 10025, USA
Gen Sakurai
Institute for Agro-Environmental Sciences, National Agriculture and Food Research
Organization,
Tsukuba, 305-8604, Japan
Erwin Schmid
Institute
for Sustainable Economic Development, University of Natural Resources and Life Sciences, 1180 Vienna, Austria
Rastislav Skalsky
International Institute for Applied Systems Analysis,
Ecosystem Services and Management Program, 2361 Laxenburg, Austria
Carol X. Song
Rosen Center for Advanced Computing, Purdue University,
West Lafayette, IN, USA
Xuhui Wang
Laboratoire des Sciences du Climat et de l'Environnement.
CEA CNRS UVSQ Orme des Merisiers, 91191 Gif-sur-Yvette, France
Sino-French Institute of Earth System
Sciences, Peking University, 100871 Beijing, China
Allard de Wit
Earth
Observation and Environmental Informatics, Alterra Wageningen University and Research Centre, 6708PB Wageningen, the Netherlands
Hong Yang
Eawag, Swiss Federal Institute of Aquatic Science and
Technology, 8600 Duebendorf, Switzerland
Department of Environmental Sciences, University of Basel,
Petersplatz 1, 4003 Basel, Switzerland
Download
- Final revised paper (published on 04 Apr 2017)
- Supplement to the final revised paper
- Preprint (discussion started on 20 Sep 2016)
- Supplement to the preprint
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
-
RC1: 'review comments', Anonymous Referee #1, 19 Oct 2016
-
RC2: 'review', Anonymous Referee #2, 21 Oct 2016
-
AC1: 'Author response to the two reviewer comments', Christoph Müller, 14 Dec 2016
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AC1: 'Author response to the two reviewer comments', Christoph Müller, 14 Dec 2016
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christoph Müller on behalf of the Authors (05 Jan 2017)
Author's response
Manuscript
ED: Referee Nomination & Report Request started (06 Jan 2017) by Min-Hui Lo
RR by Anonymous Referee #1 (01 Mar 2017)
ED: Publish subject to technical corrections (02 Mar 2017) by Min-Hui Lo
AR by Christoph Müller on behalf of the Authors (07 Mar 2017)
Author's response
Manuscript
Short summary
Crop models are increasingly used in climate change impact research and integrated assessments. For the Agricultural Model Intercomparison and Improvement Project (AgMIP), 14 global gridded crop models (GGCMs) have supplied crop yield simulations (1980–2010) for maize, wheat, rice and soybean. We evaluate the performance of these models against observational data at global, national and grid cell level. We propose an open-access benchmark system against which future model versions can be tested.
Crop models are increasingly used in climate change impact research and integrated assessments....